o ci@s4ddlZddlmZedddejjfddZdS)N) PublicAPIbeta) stabilitytf_dataset_shardcCs.tj}tjjjj|j_|| tjj S)aA utility function that overrides default config for Tensorflow Dataset. This should be used on a TensorFlow ``Dataset`` created by calling ``iter_tf_batches()`` on a ``ray.data.Dataset`` returned by ``ray.train.get_dataset_shard()`` since the dataset has already been sharded across the workers. Args: tf_dataset_shard (tf.data.Dataset): A TensorFlow Dataset. Returns: A TensorFlow Dataset with: - autosharding turned off - prefetching turned on with autotune enabled ) tfdataOptions experimentalAutoShardPolicyOFFexperimental_distributeauto_shard_policy with_optionsprefetchAUTOTUNE)roptionsrY/home/ubuntu/.local/lib/python3.10/site-packages/ray/train/tensorflow/train_loop_utils.pyprepare_dataset_shards  r) tensorflowrray.util.annotationsrrDatasetrrrrrs